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API: timestamp resolution inference: default to microseconds when possible

DatetimeDatetime data dtypeDatetime data dtype

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Stale

Timestamppd.Timestamp and associated methodspd.Timestamp and associated methods

Status: Draft (not ready).

pandas-dev/pandasnumber 62031

#62031 In pandas-dev/pandas;

· jorisvandenbossche opened on Aug 3, 2025

ENH: support for non-nanosecond precision in pd.Timedelta

Closing CandidateMay be closeable, needs more eyeballsMay be closeable, needs more eyeballs

Enhancement

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Status: Open.

#59389 In pandas-dev/pandas;

· veenstrajelmer opened on Aug 2, 2024

ENH/BUG: pd.date_range() still defaults to nanosecond resolution

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Status: Open.

#59031 In pandas-dev/pandas;

· jorisvandenbossche opened on Jun 17, 2024

· 

3.0

API: timestamp resolution inference - default to one unit (if possible) instead of being data-dependent?

DatetimeDatetime data dtypeDatetime data dtype

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Timestamppd.Timestamp and associated methodspd.Timestamp and associated methods

Status: Open.

#58989 In pandas-dev/pandas;

· jorisvandenbossche opened on Jun 12, 2024

· 

3.0

BUG: Convertion fails for columns with datetime64[ms]

Bug

IO JSONread_json, to_json, json_normalizeread_json, to_json, json_normalize

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Status: Open.

#57738 In pandas-dev/pandas;

· alvarofagner opened on Mar 5, 2024

BUG(?): Non nano + DatetOffset(component=0) re-infers resolution

FrequencyDateOffsetsDateOffsets

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Numeric OperationsArithmetic, Comparison, and Logical operationsArithmetic, Comparison, and Logical operations

Status: Open.

#57448 In pandas-dev/pandas;

· mroeschke opened on Feb 16, 2024

BUG: Resampling with non nano returns an error

Bug

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

RegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas version

Resampleresample methodresample method

Status: Open.

#57427 In pandas-dev/pandas;

· khider opened on Feb 14, 2024

Potential regression induced by PR #56037

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

PerformanceMemory or execution speed performanceMemory or execution speed performance

RegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas version

Status: Open.

#57366 In pandas-dev/pandas;

· rhshadrach opened on Feb 11, 2024

BUG: dt64[non_nano] + some_offsets incorrectly rounding

Bug

FrequencyDateOffsetsDateOffsets

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Numeric OperationsArithmetic, Comparison, and Logical operationsArithmetic, Comparison, and Logical operations

Status: Open.

#56586 In pandas-dev/pandas;

· jbrockmendel opened on Dec 21, 2023

BUG/API: round-tripping non-nano datetime64s with to_json/read_json

Bug

IO JSONread_json, to_json, json_normalizeread_json, to_json, json_normalize

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Status: Open.

#55827 In pandas-dev/pandas;

· jbrockmendel opened on Nov 4, 2023

· 

3.0

BUG: Pandas 2.0 loses type information from <code>datetime64[M/D]</code> when creating dataframes

Bug

Dtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversions

Error ReportingIncorrect or improved errors from pandasIncorrect or improved errors from pandas

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

Status: Open.

#55301 In pandas-dev/pandas;

· KianShepherd opened on Sep 26, 2023

BUG: <code>df1.merge(df2, on='ds', how='outer')</code> not convert column <code>ds</code> to the highest resolution datetime type of the two dfs

Bug

Non-Nanodatetime64/timedelta64 with non-nanosecond resolutiondatetime64/timedelta64 with non-nanosecond resolution

ReshapingConcat, Merge/Join, Stack/Unstack, ExplodeConcat, Merge/Join, Stack/Unstack, Explode

Status: Open.

#55212 In pandas-dev/pandas;

· seanslma opened on Sep 20, 2023

· 

2.2.3